In-home monitoring system for assessing gait using wall-mounted RF transceivers

使用壁挂式射频收发器评估步态的家用监控系统

• 批准号: 8904402
• 负责人: Peter G Jacobs
• 金额: $ 22.5万
• 依托单位: EMBEDRF, LLC
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-08-01 至 2017-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8904402
• 关键词: Address; Affect; Age; Algorithms; Assisted Living Facilities; Caregivers; Caring; Clinic; Clinical; Clinical Trials; Cognitive; Couples; Data; Development; Discrimination; Elderly; Engineering; Evaluation; Family member; Feasibility Studies; Friends; Gait; Goals; Head; Health; Health Status; Height; Home environment; Homes for the Aged; Impairment; Independent Living; Individual; Laboratories; Leg; Length; Life; Link; Location; Machine Learning; Maps; Measurement; Measures; Methods; Monitor; Movement; Neurologic; Patients; Performance; Persons; Pharmaceutical Preparations; Positioning Attribute; Procedures; Process; Protocols documentation; Quality of life; Recruitment Activity; Research; Shapes; Signal Transduction; Speed; System; Techniques; Technology; Testing; Time; Validation; Visit; Walking; Width; Wireless Technology; Work; base; cohort; cost; design; improved; monitoring device; novel; particle; physical conditioning; prototype; public health relevance; radio frequency; sensor; signal processing

 DESCRIPTION (provided by applicant): The goal of this project is to develop and evaluate a new system called GaitRF that can measure walking speed and other detailed gait parameters passively within the home. The ability to move is a critical function that underlies the quality of life for elders as well as those suffering from neurologic or physical ailments. Changes in aspects of gait such as walking speed, stride length, stride imbalance, etc. have been shown to correlate with changes in physical and cognitive health. Gait is typically measured periodically within a clinical setting. In-home monitoring offers the advantage of continuous and ongoing measurements providing significantly more information about changes in a patient's health under real life conditions. Ongoing accurate estimation of gait within the home can help to guide caregivers about the need for transitioning older adults to higher levels of care. Accurate in-home gait monitoring also has the potential to encourage older adults to maintain independence later into their lives by enabling family members and friends to monitor health status remotely. The proposed system makes use of novel wireless technology being developed at EmbedRF. An array of tiny transceivers are positioned in either a hallway or doorframe and configured to wirelessly send radio frequency (RF) signals between each other. As a person walks past the transceivers, their body disrupts the RF signal strength allowing for the estimation of gait metric without the need for the person to wear any monitoring device. Preliminary results using only 2 or 4 transceivers have already demonstrated the ability to accurately estimate walking speed. Preliminary results also show the unique ability to discriminate between individuals for use in a multi-resident home or to exclude data when a caregiver or friend visits. Specific aims in this proposal will 1) further develop prototype systems for walking speed estimation using transceiver pairs, 2) research and develop use of an array of sensors placed at base-board height in order to extract more detailed gait metrics; a second transceiver pair will be placed at approximate head height to provide multi-person discrimination capability, and 3) perform preliminary in-home evaluations of the GaitRF system. Advanced machine learning and tracking algorithms will be utilized to process the RF signals to extract gait metrics. We will evaluate the performance of GaitRF in both a laboratory setting and within single-resident and multi- resident homes of seniors. If successful, this new system has the advantage of being low-cost, unobtrusive, and easy to install, while still providing accurate and detailed gait metrics. The system can be used as a stand-alone gait monitor or incorporated into more general health monitoring systems. Application of the technology will support independent living and may also be used in clinical trials of drugs or procedures that affect mobility.

 描述（由适用提供）：该项目的目的是开发和评估一个名为Gaitrf的新系统，该系统可以在房屋内被动地测量行走速度和其他详细的收集参数。移动能力是一个关键功能，其质量是 长者以及患有神经系统或身体疾病的人的生活。步行速度，步幅长度，步幅失衡等方面的变化已显示与身体和认知健康的变化相关。步态通常在临床环境中定期测量。在家监测提供了连续和持续测量的优势，可在现实生活中提供更多有关患者健康变化的信息。对家庭内步态的持续准确估计可以帮助指导护理人员将老年人过渡到更高水平的护理需求。准确的家庭步态监控还有可能鼓励老年人通过使家人和朋友远程监视健康状况，从而促进较晚的独立性。所提出的系统利用了在EmbedRF开发的新型无线技术。一系列微小的收发器位于走廊或门框中，并配置为彼此之间无线发送射频（RF）信号。当一个人越过收发器时，他们的身体破坏了RF信号强度，允许估算Meet Metric，而无需该人佩戴任何监控设备。仅使用2或4个收发器的初步结果已经证明了准确估计步行速度的能力。初步结果还显示了区分个人在多居住房中使用或在护理人员或朋友访问时排除数据的独特能力。该提案中的具体目的是1）进一步开发原型系统，使用收发器对，2）研究和开发使用位于底板高度的一系列传感器的使用，以提取更详细的收集指标；第二个收发器对将放置在近似头高的情况下，以提供多人歧视能力，3）对GAITRF系统进行初步的室内评估。先进的机器学习和跟踪算法将用于处理RF信号以提取步态指标。我们将评估 gaitrf在实验室环境和单人和多居民的老年人房屋中的表现。如果成功的话，这个新系统的优势是低成本，不引人注目且易于安装，同时仍提供准确详细的AIT指标。该系统可以用作独立AIT监视器，也可以将其纳入更一般的健康监测系统中。该技术的应用将支持独立的生活，也可以用于影响流动性的药物或程序的临床试验中。